MIST (Selective Trust) — leaderboard
Metric: Overall Accuracy (%). Source: worldbench.github.io. 23 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 94.2 |
| 2 | GPT-5.5 | 94.2 |
| 3 | Claude Opus 4.8 | 93.7 |
| 4 | Claude Sonnet 4.6 | 92.8 |
| 5 | Claude Opus 4.7 | 91.1 |
| 6 | Claude Haiku 4.5 | 90.1 |
| 7 | Qwen 3 14B | 89.9 |
| 8 | Phi-4 (Reasoning) | 88.3 |
| 9 | Qwen 3 8B | 88.1 |
| 10 | Qwen 2.5 14B | 85.5 |
| 11 | Seed 1.8 | 85.5 |
| 12 | Gemma 3 12B | 85.4 |
| 13 | Qwen 2.5 7B | 83.3 |
| 14 | Llama 3.1 8B | 76 |
| 15 | Qwen 2.5 3B | 73.4 |
Interactive version: theaggregate.ai/benchmark?slug=mist-selective-trust · How It Works · Data refreshed daily, snapshot 2026-08-08.